Sayed Nayab Ali

Senior Software Engineer

Hyderabad, Telangana, India5 yrs 4 mos experience

Highly Stable

Key Highlights

Expert in building scalable, low-latency distributed systems.
Successfully scaled data pipelines to handle 30,000+ messages/min.
Proficient in optimizing architecture for cost reduction.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and high-performance systems.

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Skills

Core Skills

Go (programming Language)Apache KafkaPerformance TestingElasticsearchMonitoringSpring BootCore JavaJavaSpring FrameworkMachine LearningData ScienceMysql

Other Skills

C (Programming Language)C++Cascading Style Sheets (CSS)Code OptimizationData AnalysisDesign PatternsDockerGitGrafanaHTMLKibanaKubernetesLeadershipMarket AnalysisMicroservices

About

🔹 Senior Software Engineer | Backend Systems | Go, Kafka, Kubernetes 🔹 Building scalable, low-latency distributed systems I’m a backend-focused software engineer with over 5 years of experience designing and building high-performance systems in cloud-native environments. My expertise spans Golang, Kafka, PostgreSQL, Kubernetes, and microservices architecture. At TechMojo, I’ve: Scaled data pipelines to handle 30,000+ messages/min with <100ms latency. Migrated synchronous APIs to Kafka for better reliability and performance. Enabled autoscaling and reduced infra costs through optimized architecture. I thrive in solving performance bottlenecks, improving system observability, and architecting robust services for real-world scale.

Experience

Demandbase

IC-3

Jul 2025 – Present · 8 mos · Hyderabad, Telangana, India · Hybrid

Techmojo solutions private limited

Senior Member of Technical Staff

Jun 2022 – Jul 2025 · 3 yrs 1 mo · Hyderabad, Telangana, India · On-site

Implemented an adapter service to ingest and transform player props betting data, publishing to Kafka for downstream systems with 99.99% uptime.
Managed the full lifecycle of betting markets—including creation, updates, and expiration—ensuring accurate availability with update latency under 35ms.
Scaled data pipeline to support 30,000+ messages/min, reducing average latency from 1257ms to 83ms through performance testing, code optimization, and architectural refinements.
Rearchitected microservice architecture to enable horizontal pod autoscaling (HPA) and improved scalability during peak traffic.
Designed and built a monitoring service for Kafka lag and system health, allowing early detection of disasters and saving costs.
Implemented centralized logging using Elasticsearch and created dashboards in Kibana and Grafana, reducing debugging time by 80%.
Migrated REST-based inter-service communication to Kafka, improving message reliability, fault tolerance, and asynchronous processing.
Integrated 20+ sports into cloud-based SaaS betting platform.

Go (Programming Language)PostgreSQLElasticsearchApache KafkaDockerRedis+6

Tata consultancy services

SAP C4C Functional Consultant

Nov 2020 – Jun 2022 · 1 yr 7 mos · Pune, Maharashtra, India

Managed SAP C4C cloud solutions with >99% uptime, improving client experience.
Customized, configured and tested C4C solutions for enterprise clients.
Worked on developing and consuming RESTful APIs using Spring Boot and Java to support integration with third-party systems.

Core JavaJavaSpring Boot

Mthree

Full Stack Development Intern

Jul 2020 – Oct 2020 · 3 mos

Designed, built and tested web applications using concepts of Java web technologies and Spring Framework for back-end and concepts of HTML, CSS and ReactJS for front-end.

JavaReact.jsHTMLSpring Framework

Talentsprint

Data Science Intern

Jan 2020 – Jun 2020 · 5 mos

Developed a Machine Learning Model in Python to build "Employee Attrition Prediction Application" using the core concepts of
Data Science. The application is deployed on Heroku and Microsoft Azure.

Python (Programming Language)Machine LearningData AnalysisData Science

Quest global technologies ltd

Java developer intern

Jul 2019 – Aug 2019 · 1 mo

Developed a real time project named "Medical Policy Tracker" to differentiate between fake medical claims and real medical claims. The project utilized the technologies of Java J2EE, MySQL, HTML and CSS.

JavaHTMLMySQLCascading Style Sheets (CSS)